CN109751707A - The storage medium that air conditioning capacity estimating device, air conditioning capacity presumption method and the computer having program recorded thereon can be read - Google Patents
The storage medium that air conditioning capacity estimating device, air conditioning capacity presumption method and the computer having program recorded thereon can be read Download PDFInfo
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
- F24F11/47—Responding to energy costs
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2140/00—Control inputs relating to system states
- F24F2140/50—Load
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2140/00—Control inputs relating to system states
- F24F2140/60—Energy consumption
Abstract
It provides and generates the presumption calorie value that heat obtains using power consumption data and pusher side presumption indoors to estimate the storage medium that the air conditioning capacity estimating device of air conditioning capacity, air conditioning capacity presumption method and the computer having program recorded thereon can be read.According to an embodiment, air conditioning capacity estimating device has processing unit, data presumption unit and heat presumption unit.Processing unit extracts in data, that is, indoor unit data relevant to the input and output of indoor unit and carries out conversion process for estimating the data for generating heat, and to the form for estimating generation heat.Data presumption unit estimates this according to other data of acquisition and data has not been obtained in the case where data have not been obtained there are the data that the indoor unit data do not include in the data for generating heat for estimating.Heat presumption unit is estimated according to the data of acquisition and the data of presumption to heat is generated.
Description
The application is based on Japanese patent application 2017-215797 (applying date: on November 8th, 2017), from this application
Enjoy preferential interests.The application is referring to this application, thus all the elements comprising this application.
Technical field
Embodiments of the present invention are related to air conditioning capacity estimating device, air conditioning capacity presumption method and program.
Background technique
As global warming countermeasure, reinforces the measure to energy-saving, be effectively utilized IoT in the environment using energy
The trend of the energy management of (Internet of Things) becomes active.As the index for indicating efficiency of power dissipation, there is COP
(Coefficient Of Performance: the coefficient of performance), is widely used as the performance indicator of heating-cooling equipment.
The method for thering is pusher side indoors or outdoor pusher side to be measured in the method that the heat of refrigerating and heating combined equipment estimates.
As the method from outdoor pusher side, compressor curve method, outdoor air enthalpy method can be enumerated.These outdoor pusher side into
In the method for row measurement, data required for heat estimates are in outdoor pusher side, therefore, as long as not supplied by manufacturer side for example
Under the special environment such as the case where inspection software for the operational situation for capableing of monitoring device, it is difficult to obtain data.In addition,
In the case that outdoor pusher side measures, when refrigerant etc. passes through piping, heat loss, but the heat loss are generated as error
It is different according to manufacturer and setting situation etc., therefore, it is difficult to closely be estimated.And, it is also known that it can be because of four-way valve
Interior leakage bypasses the reasons such as caused refrigerant flow reduction and generates error.
On the other hand, as the method from indoor pusher side, indoor air enthalpy method can be enumerated.Pusher side is surveyed indoors
In the case where amount, the acquisition of data can be by using BEMS (Building Energy Management System: building
Energy Management System) and relatively easily measure, but can not also be obtained sometimes according to the difference of project.It is such as above-mentioned several
Shown in example, there are heat presumption method do not establish method, be difficult to carry out project as strict presumption.
Summary of the invention
Subject to be solved by the invention
The subject to be solved by the invention is to provide use power consumption data and pusher side presumption indoors to generate what heat obtained
The calculating for estimating calorie value to estimate the air conditioning capacity estimating device of air conditioning capacity, air conditioning capacity presumption method and have program recorded thereon
The storage medium that machine can be read.
Means for solving the problems
Air conditioning capacity estimating device as embodiments of the present invention, which has processing unit, data presumption unit and heat, to be pushed away
Determine portion.Processing unit extracts in indoor unit data and is used to estimate the data for generating heat, and to for estimating the shape for generating heat
Formula carries out conversion process, which is the relevant data of input and output to indoor unit.Data presumption unit is for pushing away
Surely it generates in the data of heat in the presence of in the case where data have not been obtained, estimates this according to other data of acquisition and data have not been obtained,
It is the data that above-mentioned indoor unit data do not include that data, which have not been obtained, in this.Heat presumption unit is according to the data of acquisition and the number of presumption
According to, to generate heat estimate.
Invention effect
According to the air conditioning capacity estimating device of above structure, it is able to use power consumption data and pusher side presumption indoors generates
Presumption calorie value that heat obtains estimates air conditioning capacity.
Detailed description of the invention
Fig. 1 is the block diagram of the air conditioning capacity estimating device of an embodiment.
Fig. 2 is the figure for indicating an example of air quantity indicated value and actual air volume value.
Fig. 3 be indicate to require load value instantaneous value and processing costs an example figure.
Fig. 4 is the figure of an example of the instantaneous value for indicating temperature and the value of smoothing.
Fig. 5 is the figure for indicating an example of data for storage.
Fig. 6 is the flow chart for indicating the processing for generating heat presumption of an embodiment.
Fig. 7 is the block diagram of the air conditioning capacity estimating device of other embodiments.
Fig. 8 is the block diagram of the air conditioning capacity estimating device of other embodiments.
Fig. 9 is the figure for indicating an example of installation for air conditioning capacity estimating device.
Symbol description
1: air-conditioning system
10: air conditioning capacity estimating device
100: indoor unit data acquiring section
102: indoor unit data storing unit
104: outside air temperature data storing unit
106: power consumption data storage unit
108: processing unit
110: airflow value processing unit
112: it is required that load value processing unit
114: temperature variation processing unit
116: humidity changes processing unit
118: model storage unit
120: data presumption unit
122: heat presumption unit
124: coefficient of performance calculation part
126: display unit
128: algorithm determining section
130: time difference processing unit
20: air conditioner
200: indoor unit
202: outdoor unit
204: sensor
30: management system
6: computer installation
61: processor
62: main storage means
63: auxilary unit
64: network interface
65: equipment interface
66: bus
7: communication network
8: external device (ED).
Specific embodiment
Hereinafter, embodiment is described in detail referring to attached drawing.In addition, in the following description, by temperature data and
Humidity data is divided into separated data to be illustrated, but can also collect and obtain or handle for data of the Temperature and Humidity module.
(the 1st embodiment)
Fig. 1 be indicate include the function of the air-conditioning system of the air conditioning capacity estimating device of present embodiment block diagram.Air-conditioning
System 1 has air conditioning capacity estimating device 10, air conditioner 20 and management system 30.
Air conditioning capacity estimating device 10 is the device estimated to the air conditioning capacity of air conditioner 20, has indoor unit data
Acquisition unit 100, indoor unit data storing unit 102, outside air temperature data storing unit 104, power consumption data storage unit 106, processing unit
108, model storage unit 118, data presumption unit 120, heat presumption unit 122 and coefficient of performance calculation part 124.
Indoor unit data acquiring section 100 obtains data, that is, indoor unit data relevant to indoor unit 200.Indoor unit data are
Refer to for example wet according to the operational situation of the indoor unit of time series 200, set temperature, air quantity setting value, inlet temperature, sucking
The data relevant to the input and output of indoor unit 200 such as degree, blowout temperature, blowout humidity.
The indoor unit data that indoor unit data storing unit 102 obtains indoor unit data acquiring section 100 store.It is external
Temperature record storage unit 104 stores the data of the outside air temperature according to time series.Power consumption data storage unit 106 is to pressing
It is stored according to the data of the power consumption of the air conditioner 20 of time series.
These storage units can also for example be configured to have database.In addition, being also not necessarily necessarily placed at air conditioning capacity
In estimating device 10 and then air-conditioning system 1, for example, it is also possible to be stored up in this document server in external document server
Deposit data is connect via network with air conditioning capacity estimating device 10 or air-conditioning system 1.
Alternatively, it is also possible to obtain the number that indoor unit data acquiring section 100 needs from the sensor 204 for being set to air conditioner 20
According to, it can also be by BEMS from the acquisition data of air conditioner 20, and indoor unit data acquisition is obtained from the data obtained by the BEMS
The data that portion 100 needs.
Indoor unit data acquiring section 100 does not need to be provided independently from, and is obtained in batches for example, it is also possible to be arranged from air-conditioning
The air conditioner data acquiring section of the data of machine 20.In this case as well, it is possible to obtain air conditioner data acquiring section also in batches
Outside air temperature data and power consumption data, and stored to each storage unit.
Processing unit 108 is carried out according to the data for being stored in indoor unit data storing unit 102 for the generation to air conditioner 20
The processing for the data that heat is estimated.Processing unit 108 has such as airflow value processing unit 110, requires load value processing unit
112, temperature variation processing unit 114 and humidity change processing unit 116.
Airflow value processing unit 110 extracts the data of the air quantity setting value obtained, carries out from the data of the air quantity setting value
Obtain the processing of actual airflow value.Air quantity setting value refers to such as the value by setting remote controler to air conditioner 20, is table
Show the indicated value of the air quantity such as abrupt wind, high wind, weak wind.
It is required that load value processing unit 112 requires load value from the extraction of indoor unit data storing unit 102, which is born
The processing that charge values are converted to the form for the presumption for being suitable for generating heat.It is required that load value has been expressed as sucking temperature according to indoor unit
The difference progress air-conditioning of degree and the set temperature of air conditioner 20 is simultaneously set as set temperature and needs the value of the refrigerant of which kind of degree.It should
It is required that load value is exported to outdoor unit, pressure etc. of refrigerant is controlled in outdoor unit to be radiated, be absorbed heat, and controlled at reaching
To the set temperature of air conditioner 20.
Temperature variation processing unit 114 extracts time series number relevant to temperature variation from indoor unit data storing unit 102
According to make the processing of the instantaneous variation smoothing of temperature.
Humidity changes processing unit 116 and extracts time series number relevant to humidity variation from indoor unit data storing unit 102
According to make the processing of the instantaneous variation smoothing of humidity.Temperature data and humidity data are obtained by sensor, but the acquisition
Instantaneous value fluctuation (Japanese: ぶ れ) it is larger, keep initial data it is constant in the state of be unsuitable for generate heat presumption, because
This, carries out the processing for making smoothing fluctuations in these processing units.
Model storage unit 118 stores model relevant to the calculating of each data when pushing away regular data by data presumption unit 120.
Data presumption unit 120 is obtained in the case where generating data required for heat there is no presumption using other
Data estimate the data being not present by various data that processing unit 108 is handled.The presumption use is stored in mould
The model of type storage unit 118.
Heat presumption unit 122 according to the data estimated by data presumption unit 120 and the data handled by processing unit 108,
It is estimated to heat is generated.The presumption uses such as indoor air enthalpy method.
The heat that coefficient of performance calculation part 124 is estimated according to heat presumption unit 122 calculates the coefficient of performance (COP).
Air conditioner 20 is the air conditioner for for example carrying out indoor air-conditioning, has indoor unit 200, outdoor unit 202 and sensing
Device 204.
Indoor unit 200 is arranged indoors, carries out indoor temperature using the refrigerant that absorb heat by outdoor unit or radiated
The adjusting of degree, humidity etc..Indoor unit 200 can change set temperature, air quantity indicated value by remote controler etc. by people indoors
Etc. parameters.As another example, if buildings such as buildings, then can also be become by the manager in building is equal via management system
More these parameters.
The setting of outdoor unit 202 is carried out by changing by indoor unit in outdoor according to the set temperature etc. of indoor unit 200
The pressure of the refrigerant of heat absorption or heat dissipation adjusts the temperature of above-mentioned refrigerant to the temperature suitable for set temperature.
Sensor 204 is set to the blowing portion or sucting of the air of such as indoor unit, and acquisition inlet temperature, sucking are wet
The information such as degree, blowout temperature, blowout humidity, and it is stored in the database in management system.Alternatively, indoor unit data can also be made
Acquisition unit 100 obtains the information that sensor 204 perceives.In addition, sensor 204 is not limited to only perceive indoor state, for example,
Also available outside air temperature data.
Next, being illustrated to the movement of air-conditioning system 1.
Fig. 2 is to indicate air quantity indicated value and corresponding the one of the practical airflow value exported from the indoor unit 200 of air conditioner 20
The figure of a example.As shown in Fig. 2, for product, the airflow value relative to each indicated value, air quantity are set in catalogue etc.
Value processing unit 110 converts air quantity indicated value to actual airflow value according to the table.For example, in product A, this instruction of abrupt wind
Value is output 20m per minute3Air as air quantity, equally, high wind be 16.5m per minute3, weak wind is 14.5m per minute3,
Stop being 0m per minute3Value.It's not limited to that for unit, for example, it is also possible to be m3/ hour (per hour~m3) etc..
The air quantity indicated value is different according to manufacturer, product etc. with actual airflow value, in product A and product B
Between be different values.Such table is stored as such as database by airflow value processing unit 110, according to the table, will be stored in room
Data conversion of the data of the air quantity indicated value of interior machine data storing unit 102 to airflow value.Product and each data both can be such as
It is associated (Japanese: association) by ProductName, can also be associated by the model of product, as long as from the production used
Product are uniquely found out, so that it may be any correlating method.
In addition, machine data acquiring section 100 to indoor unit data storing unit 102 stores relevant to airflow value data indoors
When, store with converting according to the table of Fig. 2.In the case, airflow value processing unit 110 is carried out from indoor unit data
Storage unit 102 obtains the processing that presumption generates the data of airflow value required for heat.
Fig. 3 be indicate to require the instantaneous value of load value and by requiring load value processing unit 112 to be handled after
The figure of one example of reason value.In Fig. 3, according to time series show moment t0, t1, t9 when requirement load
The instantaneous value of value and by the processing costs after requiring load value processing unit 112 to be handled.Here, set moment t0,
T1, t9 be per unit time, such as every 1 minute measurement value.As processing costs, show when calculating every 5 unit
Between (the example of the average value of moment t0 to moment t4 and moment t5 to moment t9).In addition, the unit time is not limited to 1 point
Clock also can be set to shorter than the 1 minute time as 1 second, 5 seconds as long as the presumption of heat can suitably be carried out generating, or
Person, the time of the miscellaneous stipulations such as time longer than 1 minute as 90 seconds, 2 minutes.
In moment t2, the instantaneous value for requiring load value is not recorded, this indicates instantaneous Value Data nothing for some reason
Method obtains.Hereinafter, such value that can not be obtained is known as defect value.There are defect value, it is desirable that at load value
The average value that other data are found out there are the instantaneous value of the defect value is ignored in reason portion 112, to calculate processing costs.In this feelings
Under condition, using the value of moment t0, t1, t3, t4, the average value of instantaneous value is found out.It as another example, can also be by defect value
It is estimated as the average value of moment t1 and moment t3.In addition to this, other interpolation methods be can use also to carry out interpolation, such as made
With the linear interpolation of ± 2 unit time, interpolation of average value or using before the unit time instantaneous value (in the case for when
Carve t1) value carry out interpolation etc..
In the example in figure 3, the average value of the instantaneous value of moment t0 to moment t4 and moment t5 to moment t9 is found out, is made
Moment t0 to moment t4 is handled as identical value for processing costs, equally handles moment t5 to moment t9 for identical value.That is, by when
Carve t0 to moment t4 processing costs be calculated as moment t0 to moment t4 instantaneous value average value ((5+5+3+3)/4=4), by when
Carve t5 to moment t9 processing costs be calculated as moment t5 to moment t9 instantaneous value average value ((5+0+0+0+3)/5=1.6).
In this embodiment, with 5 minutes, this time width was handled, but the value can also be used as parameter and be stored, by user or
System is arbitrarily changed to other values.
It's not limited to that for processing costs, or the moving average at each moment can also find out the standard of each data
Deviation is set as moving average obtained from having used the value for omitting the big data of standard deviation as characteristic quantity.As it
His example, can also extract as defined in mode (Japanese: モ ー De) value in the time, statistic as intermediate value as processing
Value.Also smoothing method in addition to this can be used.As described above, it is desirable that load value processing unit 112 according to time series from
It is stored in the instantaneous value for extracting in the data of indoor unit data storing unit 102 and requiring load value, and is executed to processing costs conversion
Processing.
As the feature for the instantaneous value for requiring load value, have in moment overshoot (the Japanese: オ ー バ ー for opening air conditioner
シ ュ ー ト) continue and tendency that make ambient-temp-stable when become smaller greatly, when operating condition.It is required that load value processing unit 112 is by such as
It is above described to be handled, it is able to carry out the interpolation of the value of local defect, and the shadow for inhibiting such overshoot etc. can be obtained
Loud processing costs.
Fig. 4 is the figure for indicating to make to blow out an example of the processing of temperature and inlet temperature smoothing.As shown in Fig. 4,
The instantaneous value of blowout temperature and inlet temperature generates big fluctuation according to the moment.Presumption generate heat when it is such fluctuation at
The reason of to generate big error.Therefore, temperature variation processing unit 114 carries out the processing for making the smoothing fluctuations.
In Fig. 4, dotted line respectively indicates the instantaneous value of blowout temperature, inlet temperature, and solid line indicates blowout temperature, sucking temperature
Spend the value of smoothing.Temperature variation processing unit 114 for example to the unit time be 1 minute blowout temperature and inlet temperature it is instantaneous
Value Data executes smoothing techniques.In the case where having defect value at the time of executing smoothing techniques, with above-mentioned requirement load
Value processing unit 112 carries out the interpolation of defect value in the same manner.
Smoothing is for example carried out using general low-pass filter.As an example, calculating time width is 30
The moving average of minute is as processing costs.The time width can also find out the front and back dispersion in 14 minutes for the time having in mind
Value is simultaneously changed according to the dispersion value.In this case as well, it is possible to be used in the case where dispersion value is defined value or more
29 minutes time widths use 19 minutes time widths in the case where dispersion value is less than defined value.Also, small
In the case where another specified value, that is, in the case where less there is the fluctuation of instantaneous value, can also be without smoothing at
Reason.It is also possible that obtaining characteristic quantity (being in the above example dispersion value), and changed according to this feature amount about smooth
Change parameter of processing etc., the method for smoothing techniques.
As an example, if the unit time is 1 minute, time frame is in the case where having no defective vision value within 29 minutes
The moving average x of data x when moment t, which is pulled out, to be expressed from the next.
[mathematical expression 1]
Here, n indicates the number of defect value.
As low-pass filter, it is not limited to moving average, other methods also can be used.Even if using its other party
In the case where method, smoothing parameter can also be changed according to statistics such as dispersion values.By carrying out such smoothing, Fig. 4 institute
The figure of the dotted line shown is converted to the figure of solid line.
Relevant handle of the variation of humidity that processing unit 116 carries out is changed to humidity also substantially to handle with to temperature variation
The processing of the variation for the temperature that portion 114 carries out is identical, therefore detailed description will be omitted.
In the present embodiment, generate using predetermined algorithm the presumption of heat.Therefore, needed for the algorithm
In the case where there are the data that can not be obtained in the data wanted, data presumption unit 120 has carried out processing using by processing unit 108
Data estimate the data that can not be obtained.Hereinafter, explanation calculates generation heat as algorithm using indoor air enthalpy method
Example.
Indoors in side air enthalpy method, the presumption for generating heat needs inlet temperature, sucking humidity, blowout temperature, blowout
This 5 data of humidity, air quantity.Therefore, firstly, data presumption unit 120 judges whether that this 5 data are acquired and by processing unit
108 are appropriately processing.In general, being difficult to obtain data relevant to the blowout temperature of indoor unit 200, therefore, make
For an example, it is illustrated to the case where can not obtaining blowout temperature.
Fig. 5 (a) be indicate to be stored in indoor unit data storing unit 102 from moment t0 according to the sucking temperature of time series
Degree, sucking humidity, the figure for blowing out temperature, the example for blowing out humidity, air quantity indicated value.Empty column in table indicates defect value or can not
The data of acquisition.In this embodiment, although storing inlet temperature, sucking humidity, blowout humidity, the data of air quantity indicated value,
Blowout temperature is not stored.
For example, the data that presumption generates the time of heat are extracted, it, can if being set as defect is less than 50% for each data
It is enough to obtain, if defect is 50% or more, can not obtain.In the example of Fig. 5 (a), it can be seen that the data for blowing out temperature have
Therefore 50% or more defect for blowing out temperature, can not be obtained from indoor unit data storing unit 102.Moreover, being blown for this
Temperature out is judged as the presumption needed according to other data.
From the data, processing unit 108 obtains the data of smoothing in the processing unit about each data as being suitable for pushing away
Surely the data of heat are generated.Fig. 5 (b) is the figure for indicating the data handled in processing unit.The method of smoothing institute as above
It states, other smoothing methods can also be used according to data.
In addition, the project extracted herein must be not necessarily 5 of present embodiment, can also come according to the method used
Change project, the 2nd embodiment that can also be as be described hereinafter change the algorithm for generating heat presumption according to the data of extraction like that.
Data presumption unit 120 via other data that processing unit 108 obtains according to estimating equally via place as described above
The data for the blowout temperature that reason portion 108 obtains.As an example, using linear regression analysis come according to set temperature, sucking
Temperature sucks humidity, blows out humidity, the related datas such as load value, air quantity, outside air temperature is required to be estimated.
Data presumption unit 120 obtain according to be stored in the set temperature of model storage unit 118, inlet temperature, sucking humidity,
Blowout humidity, require load value, air quantity, outside air temperature estimate blowout temperature linear regression analysis model, in the model,
The presumption of blowout temperature is carried out according to data that are being handled by processing unit 108 or obtaining from indoor unit data storing unit 102.
Blowout temperature x (t) when as an example, by moment t is calculated as blowout temperature x (t)=a1 × set temperature
(t)+a2 × inlet temperature (t)+a3 × sucking humidity (t)+a4 × outside air temperature (t)+a5 × air quantity (t)+a6 × requires load
It is worth (t)+a7.In model storage unit 118, for example, make coefficient a1, a2 relative to each data, a7 (including constant)
(it is set temperature in the case where above-mentioned, inlet temperature, sucking humidity, outside air temperature, air quantity, requires to bear with data to be used
Charge values) it is performed in accordance with storage.
In the case where above-mentioned data can not obtain, if storing another data set and distinguishing with another data set
Corresponding coefficient b1, etc., then it is also able to use another data set and coefficient b1, estimates blowout temperature.
It is not limited to linear function as what model was stored, increasingly complex reasoning model can also be stored.?
In this case, the coefficient relative to each data, index or presumption formula etc. can also be stored.In this way, according to indoor unit is stored in
The data of data storing unit 102, extract the reasoning model in model storage unit 118, and the progress of data presumption unit 120 can not obtain
The presumption of data.
In the case where being preset with for estimating the algorithm for generating heat, in model storage unit, have previously been stored in
Which data is able to use in data set required for the algorithm which data estimated.Presumption method may not be 1.Example
Such as, in the above example, can also be stored in blowout humidity data can not also obtain in the case where can also estimate blowout temperature
Spend such model.In addition, can also make the variable having not been obtained in the case where there is the variable that can be replaced and can replace
Variable association is alternative to carry out.
After through the data presumption unit 120 presumption blowout temperature, heat presumption unit 122 executes the presumption for generating heat.
For example, generating heat indoors in side air enthalpy method and being estimated according to the following formula.It is expressed as
[mathematical expression 2]
Sucking (blowout) specific enthalpy is expressed from the next.
[mathematical expression 3]
Specific enthalpy=CP_AIR × temperature+absolute humidity × (R0+CP_VAPOR × temperature)
[mathematical expression 4]
[mathematical expression 5]
[mathematical expression 6]
Here, in the case where sucking specific enthalpy, use inlet temperature as temperature, use sucking humidity as humidity come into
Row calculates, and in the case where blowing out specific enthalpy, uses blowout temperature as temperature, uses blowout humidity as humidity to be counted
It calculates.As relative humidity, each humidity data (sucking humidity or blowout humidity) handled by processing unit 108 is used.Example
Such as, make wet air stagnation pressure atmospheric pressure, be set as ATM.
In above-mentioned formula, each parameter is,
CP_AIR (specific heat at constant pressure of dry air)=1.00,
CP_VAPOR (specific heat at constant pressure of vapor)=1.805,
TCONV (absolute temperature and conversion constant Celsius)=273.15
R0 (evaporation latent heat of the water at 0 DEG C)=2.501,
ATM (1 atmospheric pressure)=101.325,
R_AIR (gas constant of dry air)=287.0 × 10^ (- 3),
R_VAPOR (gas constant of vapor)=461.5 × 10^ (- 3),
R_RATIO (the gas constant ratio of the vapor of dry air)=R_AIR/R_VAPOR=0.62198.
Presumption heat and storage of the coefficient of performance calculation part 124 according to the air conditioner 20 estimated by heat presumption unit 122
In the power consumption data of power consumption data storage unit 106, the coefficient of performance is calculated as (coefficient of performance)=(generating heat)/(power consumption),
It is exported to management system 30.Management system 30 in air-conditioning system 1 executes the management of air conditioner 20 according to the coefficient of performance, i.e.,
It carries out energy conservation and sets such airconditioning control.Air conditioning capacity estimating device 10 and management system 30 respectively as separated device into
Go diagram, but as another example, it can also be using the knot that air conditioning capacity estimating device 10 is arranged in management system 30
Structure.
The generation heat and the calculated coefficient of performance of these presumptions can also be with merging with other data to display units
126 export and show, so as to be managed by user.It is pushed away in addition, coefficient of performance calculation part 124 is not necessarily air conditioning capacity
Determine component necessary to device 10, air conditioning capacity estimating device 10, which can also estimate, to be generated heat and export the generation heat of presumption
To management system 30.Furthermore, it is also possible to be converted into the coefficient of performance, other desired index in management system 30.
In addition, data shown by display unit 126 not only show data relevant to heat, the coefficient of performance is generated, it can also
To show other data, for example, the data not obtained with for its presumption data correlation, with acquisition data by
Relevant data in the front and back that reason portion 108 is handled etc..In addition to this, can also have operation portion (not shown), make user one
Side reading display unit 126 carries out the operation such as adjusting of each parameter on one side.Also, display unit 126 can also be enable selectively to show
Show the execution of calculated data calculated again, execution of Energy Saving Control of air conditioner 20 etc., these can be inputted from operation portion
The execution of operation.
Next, the process flow as each portion, illustrates above-mentioned movement.Fig. 6 is the flow chart for indicating the process of processing.
Firstly, processing unit 108 obtains the various data (S100) for being stored in indoor unit data storing unit 102.
Next, processing unit 108 is handled (S102) to the data of acquisition according to the type of data.The data of acquisition
Processing can both carry out in parallel according to data, can also sequentially carry out according to timing.
Next, data presumption unit 120 is according to treated the data of processing unit 108 and from indoor unit data storing unit
102 data obtained, determine data used in algorithm (S104).
Next, data presumption unit 120 in the data used exist can not obtain in the case where data have not been obtained, push away
Data (S106) has not been obtained in fixed this.There are it is multiple data have not been obtained in the case where, the presumption processing of these data both can be by
It carries out, can also be sequentially carried out according to timing in parallel according to data.
Next, heat presumption unit 122 is obtained according to treated the data of processing unit 108, from indoor unit data storing unit 102
The data of data and data presumption unit 120 presumption taken, presumption generate heat (S108).
Next, the generation heat that coefficient of performance calculation part 124 is estimated according to heat presumption unit 122, calculates performance demands
Number, exports the coefficient of performance (S110) and ends processing.
In this way, estimating the generation heat of air conditioner 20 according to the data that the sensor 204 of air conditioner 20 obtains, calculating
The coefficient of performance of energy-saving operation can be used in.
As above, according to the present embodiment, according to the data of easy acquisition or the data that can more accurately estimate
Carry out data presumption, so as to be easy and more accurately execute air conditioner 20 generation heat presumption.For example, passing through benefit
With indoor air enthalpy method, and carry out than there is loss in the exchanging of refrigerant between indoor machine 200 and outdoor unit 202 etc.
Method compare and can more accurately generate the presumption of heat.
In this way, in the performance Index Calculation of air conditioner 20, the measurement item of the sensor of pusher side or outdoor pusher side indoors
In the case that mesh is insufficient, also insufficient data items can be estimated according to the data items for being stored in BEMS, and push away using this
Fixed data calculate air conditioning capacity, to can also calculate in the air conditioner 20 of sensor required for estimating in no heat
Performance indicator out.Also, by suitably carrying out processing, the Neng Gourong such as smoothing to the data for being then difficult to estimate if measured value
The interpolation for executing data of changing places and the presumption for generating heat.
In addition, the versatility of the data of the processing of the interpolation of such data is big, it can be widely applied for having BEMS's
Air-conditioning system.In addition, algorithm to be used is not limited to indoor air enthalpy method.Also it is able to use such as outdoor air enthalpy
The other methods such as method, compressor curve method.In this case it is desirable to data it is different from above-mentioned data, but exist not
In the case where obtaining data, also can by generate according to the data that can obtain estimated as model and be stored in mould
Type storage unit 118 is coped with.In such manner, it is possible to carry out generating heat using the data that can accurately and easily obtain
Presumption.
(the 2nd embodiment)
In the above-described embodiment, it illustrates by being carried out according to other data to data required for defined algorithm
Interpolation determines algorithm according to the data of acquisition but in the present embodiment generate the presumption of heat.
Fig. 7 is the block diagram for indicating to have the function of the air-conditioning system 1 of air conditioning capacity estimating device 10 of present embodiment.This
The air conditioning capacity estimating device 10 of embodiment is also equipped with algorithm determining section 128.In addition, the content of processing unit 108 is omitted
Diagram, but it is provided with the data processing division for the data that processing suitably needs.
Algorithm determining section 128 is connect with indoor unit data storing unit 102 and data presumption unit 120, according to being stored in interior
The data of machine data storing unit 102 etc. are determined to generate the algorithm of the presumption of heat.Also, can also also with processing
Portion 108 connects, and the type for the data for making processing unit 108 execute processing is exported according to determining algorithm.
For example, indoors machine data storing unit 102 store inlet temperature, sucking humidity, blowout temperature, blowout humidity,
In the case where the data of this 5 project of air quantity, indoor air enthalpy method is determined as the calculation that presumption generates heat by algorithm determining section 128
Method.Wherein, it in the case where the data for blowing out temperature can not obtain, can be estimated according to other data in view of blowout temperature,
Indoor air enthalpy method can be determined as generating heat presumption algorithm.
In this way, there is algorithm relevant to heat generation, the data group which needs and be somebody's turn to do in algorithm determining section 128
In the case where the data of data group shortcoming, associatedly storage can be determined if having which data by data presumption unit 120 in advance
The data of shortcoming, and according to the data for being stored in indoor unit data storing unit 102, determine the algorithm of presumption heat generation.
In addition, the associated storage of algorithm and data etc. is not limited to be stored in algorithm determining section 128, it can also be in air-conditioning
Ability estimating device 10 has other databases, and spy can use the incidence relation for being stored in external server.In addition, can also
Priority is arranged to the algorithm to be utilized, by the sequence of priority from high to low, it is determined whether can be according to existing data
To be utilized.
For example, be located at be stored in indoor unit data storing unit 102 data be data A, B, C, D, E in the case where, at certain
Quantity of state required for one algorithm is data A, B, F.In the case where data F can be estimated according to data C, D, algorithm determining section
128 are judged as and in the case where other no useful algorithms, which can be determined as generation heat and pushed away using the algorithm
Determine algorithm.
As another example, in the case where data F can be replaced by data E, it is determined as using data A, B, E and benefit
With the algorithm.And as another example, the quantity of state required for a certain algorithm be data A, F, G under such circumstances,
Data A, B, C, D, E can also be able to use in data F, G to estimate or replace that algorithm determination is made a living under such circumstances
Algorithm is estimated at heat.
As above, according to the present embodiment, the data perceived according to the sensor 204 of air conditioner 20, automatically really
Surely it is used for the algorithm of heat generation.At this point, further being examined in the case that sensor 204 does not perceive the data that the algorithm needs
Consider the data that can be estimated by data presumption unit 120 according to the data of perception, determines algorithm to be used.
(the 3rd embodiment)
In the above-described embodiment, carry out generating the presumption of heat with not considering the deviation of the data in time series,
But the air conditioning capacity estimating device 10 of present embodiment between the data of acquisition there are in the case where the deviation of time, will be to this
The deviation of time is modified.
Fig. 8 is the block diagram for indicating to have the function of the air-conditioning system 1 of air conditioning capacity estimating device 10 of present embodiment.It is empty
Tune ability estimating device 10 is also equipped with time difference processing unit 130 in processing unit 108.
130 は of time difference processing unit, between data in the case where generation time deviation (time difference), carry out by data along when
Between axis direction make corrections processing, so as to the time deviation that makes corrections.The time deviation for example due in air conditioner 20 refrigerant or
Construction of the piping of air etc. etc. and generate.In this case, time difference processing unit 130 is inclined between the time 2 data
Difference is modified.
There are physical distances for the sensor of acquisition temperature data or humidity data, are occurring in data because of the distance
In the case where caused time deviation, by time-axis direction mobile data make corrections.Time difference processing unit 130
The cross-correlation coefficient of 2 data is such as calculated, and the deviation of correction time is so that the cross-correlation coefficient reaches maximum value.
For example, the cross-correlation coefficient c (τ) of 2 data series x (t) と y (t) is expressed from the next.
[mathematical expression 8]
Here, N is the size of window when calculating cross-correlation, x is pulled out, y pulls out the average value of respectively x, y.
As an example, it in the case where carrying out generating the presumption of heat using indoor air enthalpy method, is sometimes difficult to
The blowout temperature of indoor unit 200 is perceived in real time.In this case, indoor unit 200 is measured during sometime in advance
Blowout temperature.Then, calculate what the data perceived with the sensor based on the outdoor unit measured in same time obtained
Cross-correlation coefficient between presumption blowout temperature, time difference processing unit 130 are handled in a manner of traveling time sequence, so that
The related coefficient also reaches maximum.
In the case, for example, in the case where also not generating 20 minutes errors seeing as piping, from -20 minutes
Cross-correlation coefficient once is calculated to movement in every 1 minute in+20 minutes.Then, according to calculated 41 cross-correlation coefficients,
As deviation time at the time of extraction is maximized, at the time of time difference processing unit 130 is mobile corresponding to the deviation time, thus
It adjusts other data and blows out the time deviation of the data of temperature.
It is above-mentioned be not limited to can in advance time of measuring deviation the case where.That is, for being stored in indoor unit data storing unit
Can clearly there are multiple data relational as correlation in 102 data, when can also calculate according to related coefficient
Between deviation.Alternatively, it is also possible to calculate the data other than blowing out temperature time deviation.
Movement later is identical as above-mentioned each embodiment.
As above, according to the present embodiment, in the feelings as generation time deviation according to data or between data
Under condition, can also make corrections the time deviation, carry out the presumption for more accurately generating heat.
Fig. 9 is the block diagram for indicating an example of hardware configuration for an embodiment.Air conditioning capacity estimating device 10 can also
Using as have processor 61, main storage means 62, auxilary unit 63, network interface 64 and equipment interface 65 and via
Bus 66 realizes the computer installation 6 that they are connected.In addition, air conditioning capacity estimating device 10 can also be also equipped with input dress
Set 67 and output device 68.
The air conditioning capacity estimating device 10 of present embodiment can also be by installing the program executed by each device in advance
It is realized in computer installation 6, it can also by the way that program be stored in the storage mediums such as CD-ROM or is carried out via network scattered
Cloth and be suitably mounted to computer installation 6 to realize.
In addition, computer installation 6 has 1 each component in Fig. 9, but can also have multiple identical compositions
Element.In addition, in fig. 9 it is shown that 1 computer installation, but software can also be installed on multiple computer installations.It can also be with
The different a part processing of software is executed respectively by multiple computer installation to generate processing result.That is, data
Processing unit is also configured to system.
Processor 61 be include the control device of computer and the electronic circuit of arithmetic unit.Processor 61 is according to from meter
The data of the inputs such as each device of Inner Constitution of calculation machine device 6, program carry out calculation process, and by operation result, control
Signal is output to each device etc..Specifically, processor 61 executes the OS (Operating System) of computer installation 6, answers
With etc., each device for constituting computer installation 6 is controlled.
As long as processor 61 is able to carry out above-mentioned processing, it is not particularly limited in this.Processor 61 may be for example
General purpose processor, CPU (Central Processing Unit), microprocessor, DSP (Digital Signal
Processor), controller, microcontroller, state machine etc..In addition, processor 61 can also be encased in ASIC
(Application Specific Integrated Circuit)、FPGA(Field-Programmable Gate
Array),PLD(Programmable Logic Device).In addition, processor 61 can also be made of multiple processing units.
For example, it is also possible to for the combination of DSP and microprocessor, or 1 or more the miniature processing to cooperate with DSP core
Device.
Main storage means 62 are the storage devices stored to order performed by processor 61 and various data etc., are deposited
The information for being stored in main storage means 62 is directly read by processor 61.Auxilary unit 63 is other than main storage means 62
Storage device.In addition, storage device is meant to the arbitrary electronic component of stored electrons information.As main storage means
62, RAM (Random Access Memory), DRAM (Dynamic RAM) are mainly used, SRAM (Static RAM) etc. is used for
The volatile memory of temporary information is saved, but in embodiments of the present invention, main storage means 62 are not limited to this
A little volatile memory.Storage device as main storage means 62 and auxilary unit 63 both can be volatile storage
Device, or nonvolatile memory.Nonvolatile memory is PROM (Programmable Read Only
Memory)、EPROM(Erasable PROM)、NVRAM(Non-volatile RAM)、MRAM(Magnetoresistive
RAM), flash memory etc..In addition, magnetical or optical data storage also can be used as auxilary unit 63.As data
The flash memories such as the CDs such as the disks such as hard disk, DVD, USB and tape etc. also can be used in memory.
In addition, if processor 61 relative to main storage means 62 or auxilary unit 63, directly or indirectly read or
Write-in information is read and is written the two, it can be said that storage device can be with processor telecommunication.In addition, main memory
Storage device 62 can also be with integration to processor.In the case, main storage means 62 alternatively with processor telecommunication.
Network interface 64 is the interface for connecting and wirelessly or non-wirelessly with communication network.As long as network interface 64 makes
With being suitable for existing telecommunications metrics network interface.It can also be communicated by network interface 64 to via communication network 7
The external device (ED) 8 of connection sends output result etc..
Equipment interface 65 is the interfaces such as the USB connecting with the external device (ED) 8 of record output result etc..External device (ED) 8 both may be used
Think exterior storage medium, or the memories such as database.Exterior storage medium can for HDD, CD-R, CD-RW,
The arbitrary storage mediums such as DVD-RAM, DVD-R, SAN (Storage Area Network).Alternatively, external device (ED) 8 can also
To be output device.For example, having LCD (Liquid Crystal Display), CRT (Cathode Ray Tube), PDP
(Plasma Display Panel), loudspeaker etc., but not limited to this.
In addition, part or all of part or all of computer installation 6, i.e. data processing equipment can also be by pacifying
The dedicated electronic circuits (hardware) such as the semiconductor integrated circuit equipped with processor 61 etc. are constituted.Dedicated hardware can also by with
The combination of the storage devices such as RAM, ROM is constituted.
In addition, in fig. 9 it is shown that 1 computer installation, but software can also be installed on multiple computer installations.?
The different a part processing of software can be executed respectively by multiple computer installation to generate processing result.
Among the above, air conditioning capacity estimating device 10 has structure as shown in Figure 9, and but not limited to this.For example,
Air-conditioning system 1 be can be with structure as shown in Figure 9, air conditioning capacity estimating device 10 is by being stored in auxilary unit 63
Program record software, using the software carry out information processing specifically realized using hardware resource.
Although the description of several embodiments of the invention, but these embodiments prompt as an example, do not have
The range of intended limitation invention.These new embodiments can be implemented in a manner of in addition to this various, can not depart from
Various omissions, substitutions and changes are carried out in the range of the main idea of invention.These embodiments and modifications thereof are included in the model of invention
It encloses, in main idea, and is included in the invention and its equivalent range that claims are recorded.In addition, of course it is also possible at this
It is partly appropriately combined to these embodiments in the range of the main idea of invention.
Furthermore it is possible to which above-mentioned embodiment is aggregated into technical solution below.
(technical solution 1)
A kind of air conditioning capacity estimating device, wherein the air conditioning capacity estimating device has:
Processing unit extracts in indoor unit data and generates heat for estimating the data for generating heat, and to for estimating
The form of amount carries out conversion process, and the indoor unit data are the relevant data of input and output to indoor unit；
Data presumption unit, for estimate exist in the data for generating heat data have not been obtained in the case where, according to obtaining
Other data taken estimate this and data have not been obtained, and the data that have not been obtained are the data that the indoor unit data do not include；And
Heat presumption unit is estimated according to the data of acquisition and the data of presumption to heat is generated.
(technical solution 2)
In air conditioning capacity estimating device described in technical solution 1, the processing unit has airflow value processing unit, from described
Air quantity indicated value is extracted in indoor unit data, and airflow value is obtained according to the air quantity indicated value.
(technical solution 3)
In air conditioning capacity estimating device described in technical solution 1 or technical solution 2, the processing unit has requirement load value
Processing unit, the required value that refrigerant is extracted from the indoor unit data requires load value, and makes its smoothing.
(technical solution 4)
For technical solution 1 into the air conditioning capacity estimating device described in any one of technical solution 3, the processing unit has temperature
Degree changes processing unit, data relevant to temperature is extracted from the indoor unit data, and make its smoothing.
(technical solution 5)
Into the air conditioning capacity estimating device described in any one of technical solution 4, the processing unit has wet technical solution 1
Degree changes processing unit, data relevant to humidity is extracted from the indoor unit data, and make its smoothing.
(technical solution 6)
Technical solution 1 is into the air conditioning capacity estimating device described in any one of technical solution 5, in each data of extraction
There are in the case where defect value in time series, the processing unit handles data with omitting the defect value.
(technical solution 7)
Technical solution 1 is into the air conditioning capacity estimating device described in any one of technical solution 5, in each data of extraction
There are in the case where defect value in time series, estimated according to the data being located at before and after the defect value in the data of acquisition with
The defect is worth corresponding value.
(technical solution 8)
Technical solution 1 generates heat institute into the air conditioning capacity estimating device described in any one of technical solution 7, in presumption
Exist in the data needed it is described data have not been obtained in the case where and this data have not been obtained can be alternative by other data obtained
In the case where, as this data are had not been obtained to estimate generation heat in the data that this can be alternative by the data presumption unit.
(technical solution 9)
Technical solution 1 is into the air conditioning capacity estimating device described in any one of technical solution 8, in airflow value, sucking temperature
In the case where data have not been obtained described in existing in angle value, sucking humidity value, blowout temperature value and blowout humidity value, the data
Data have not been obtained described in estimating according to the data that other are obtained in presumption unit,
The heat presumption unit is according to the airflow value, inlet temperature value, sucking humidity value, blowout temperature value for obtaining or estimating
And blowout humidity value, generation heat is estimated using indoor air enthalpy method.
(technical solution 10)
In air conditioning capacity estimating device described in technical solution 9, data are had not been obtained described in the presumption in the data presumption unit
When, data are had not been obtained according to preset model come presumed value for this.
(technical solution 11)
Technical solution 1 is into the air conditioning capacity estimating device described in any one of technical solution 8, the air conditioning capacity presumption
Device is also equipped with algorithm determining section, which determines the calculation for executing and generating heat presumption according to the indoor unit data
Method,
In data used in the algorithm that data presumption unit presumption is determined as the algorithm determining section without obtaining
Data,
The heat presumption unit estimates generation heat according to the algorithm determined by the algorithm determining section.
(technical solution 12)
Into the air conditioning capacity estimating device described in any one of technical solution 11, the air conditioning capacity pushes away technical solution 1
Determine device and be also equipped with time difference correction portion, which corrects in the indoor unit data has deviation in time
Data between time deviation.
(technical solution 13)
In air conditioning capacity estimating device described in technical solution 12, the time difference correction portion is for correlativity
Data calculate the related coefficient according to time series, and correct correction time deviation to improve the related coefficient.
(technical solution 14)
Into the air conditioning capacity estimating device described in any one of technical solution 13, the air conditioning capacity pushes away technical solution 1
Determine device and be also equipped with coefficient of performance calculation part, which estimates according to power consumption data and the heat presumption unit
Generation heat calculate the coefficient of performance.
(technical solution 15)
A kind of air conditioning capacity presumption method, wherein air conditioning capacity presumption method includes the following steps: to extract indoor unit number
Conversion process, the interior are carried out for estimating the data for generating heat, and to the form for estimating generation heat in
Machine data are the relevant data of input and output to indoor unit；
For estimating in the data for generating heat in the presence of data have not been obtained, pushed away according to the indoor unit data
Data have not been obtained in fixed this, and the data that have not been obtained are the data that the indoor unit data do not include；And
According to the data of acquisition and the data of presumption, estimated to heat is generated.
(technical solution 16)
A kind of storage medium that the computer having program recorded thereon can be read, wherein described program makes computer as such as
Lower means function:
Extract indoor unit data in for estimate generate heat data, and to for estimate generation heat form into
The means of row conversion process, the indoor unit data are the relevant data of input and output to indoor unit；
For estimating in the data for generating heat in the presence of data have not been obtained, pushed away according to the indoor unit data
The means of data have not been obtained in fixed this, and the data that have not been obtained are the data that the indoor unit data do not include；And
According to the data of acquisition and the data of presumption, the means that generation heat is estimated.
Claims (10)
1. a kind of air conditioning capacity estimating device, wherein the air conditioning capacity estimating device has:
Processing unit extracts in indoor unit data and generates heat for estimating the data for generating heat, and to for estimating
Form carries out conversion process, and the indoor unit data are the relevant data of input and output to indoor unit；
Data presumption unit, for estimating in the data for generating heat in the presence of data have not been obtained, according to acquisition
Other data estimate this and data have not been obtained, and the data that have not been obtained are the data that the indoor unit data do not include；And
Heat presumption unit is estimated according to the data of acquisition and the data of presumption to heat is generated.
2. air conditioning capacity estimating device according to claim 1, wherein
The processing unit has such as at least one in lower component:
Airflow value processing unit extracts air quantity indicated value from the indoor unit data, is obtained according to the air quantity indicated value
Airflow value；
It is required that load value processing unit, the required value that refrigerant is extracted from the indoor unit data requires load value, and makes
It is smoothed；
Temperature variation processing unit extracts data relevant to temperature from the indoor unit data, and makes its smoothing；And
Humidity changes processing unit, data relevant to humidity is extracted from the indoor unit data, and make its smoothing.
3. air conditioning capacity estimating device according to claim 1 or 2, wherein
There are in the case where defect value in the time series of each data of extraction,
The processing unit handles data with omitting the defect value, or according to being located at before and after the defect value in the data of acquisition
Data estimate value corresponding with the defect value.
4. air conditioning capacity estimating device according to any one of claim 1 to 3, wherein
Exist in data required for presumption generates heat it is described data have not been obtained in the case where and this data have not been obtained can
By other data obtained it is alternative in the case where, the data presumption unit using this can alternative data data have not been obtained as this
To estimate generation heat.
5. air conditioning capacity estimating device according to any one of claim 1 to 4, wherein
Number has not been obtained described in existing in airflow value, inlet temperature value, sucking humidity value, blowout temperature value and blowout humidity value
In the case where, the data presumption unit estimated according to the data that other are obtained it is described data have not been obtained,
The heat presumption unit according to obtain or presumption airflow value, inlet temperature value, sucking humidity value, blowout temperature value and
Humidity value is blown out, generation heat is estimated using indoor air enthalpy method.
6. air conditioning capacity estimating device according to any one of claim 1 to 4, wherein
The air conditioning capacity estimating device is also equipped with algorithm determining section, which determines according to the indoor unit data
The algorithm for generating heat presumption is executed,
The data presumption unit estimates the number not obtained in data used in the algorithm determined as the algorithm determining section
According to,
The heat presumption unit estimates generation heat according to the algorithm determined by the algorithm determining section.
7. air conditioning capacity estimating device according to any one of claim 1 to 6, wherein
The air conditioning capacity estimating device is also equipped with time difference correction portion, which corrects in the indoor unit data
The data that there is deviation in time between time deviation.
8. air conditioning capacity estimating device according to any one of claim 1 to 7, wherein
The air conditioning capacity estimating device is also equipped with coefficient of performance calculation part, the coefficient of performance calculation part according to power consumption data and
The generation heat of heat presumption unit presumption calculates the coefficient of performance.
9. a kind of air conditioning capacity estimates method, wherein the air conditioning capacity presumption method includes the following steps:
It extracts and is turned in indoor unit data for estimating the data for generating heat, and to the form for estimating generation heat
Change processing, the indoor unit data are the relevant data of input and output to indoor unit；
It, should according to indoor unit data presumption for estimating in the data for generating heat in the presence of data have not been obtained
Data have not been obtained, the data that have not been obtained are the data that the indoor unit data do not include；And
According to the data of acquisition and the data of presumption, estimated to heat is generated.
10. a kind of storage medium that the computer having program recorded thereon can be read, wherein described program makes computer as follows
Means function:
It extracts and is turned in indoor unit data for estimating the data for generating heat, and to the form for estimating generation heat
Change the means of processing, the indoor unit data are the relevant data of input and output to indoor unit；
It, should according to indoor unit data presumption for estimating in the data for generating heat in the presence of data have not been obtained
The means of data have not been obtained, the data that have not been obtained are the data that the indoor unit data do not include；And
According to the data of acquisition and the data of presumption, the means that generation heat is estimated.
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| JP2017-215797 | 2017-11-08 | ||
| JP2017215797A JP6845784B2 (en) | 2017-11-08 | 2017-11-08 | Information processing equipment, information processing methods and programs |
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| CN116336608A (en) * | 2023-05-30 | 2023-06-27 | 广州豪特节能环保科技股份有限公司 | Abnormal data transmission method and device for energy-saving air conditioning system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP6723799B2 (en) * | 2016-04-08 | 2020-07-15 | 三菱電機ビルテクノサービス株式会社 | Air-conditioning outlet temperature estimation device and program |
| WO2021212458A1 (en) | 2020-04-24 | 2021-10-28 | Midea Group Co., Ltd. | Dehumidifier with condensate tank |
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Also Published As
| Publication number | Publication date |
|---|---|
| JP6845784B2 (en) | 2021-03-24 |
| US20190137131A1 (en) | 2019-05-09 |
| JP2019086243A (en) | 2019-06-06 |
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